Optimal preprocessing for source localization by fewer receivers than sensors

Joseph Tabrikian; Avi Faizakov

Optimal preprocessing for source localization by fewer receivers than sensors

Joseph Tabrikian, Avi Faizakov

Department of Electrical & Computer Engineering

Research output: Contribution to conference › Paper › peer-review

9 Scopus citations

Abstract

In many source detection and localization applications, the number of receivers is smaller than the number of sensors, where the receivers are connected to the sensors via a preprocessing device. The preprocessing device can easily be implemented in hardware by linear transformation of the measured signals at the sensors. In this paper, the Cramér-Rao lower bound for this problem is developed and it is shown that by judicious choice of the preprocessing matrix, it is possible to reduce the bound on direction of arrival estimation errors. The results demonstrate the trade-off between azimuth and elevation estimation errors using a planar array divided to subarrays.

Original language	English
Pages	213-216
Number of pages	4
State	Published - 1 Dec 2001
Event	2001 IEEE Workshop on Statitical Signal Processing Proceedings - Singapore, Singapore Duration: 6 Aug 2001 → 8 Aug 2001

Conference

Conference	2001 IEEE Workshop on Statitical Signal Processing Proceedings
Country/Territory	Singapore
City	Singapore
Period	6/08/01 → 8/08/01

ASJC Scopus subject areas

Signal Processing

Cite this

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title = "Optimal preprocessing for source localization by fewer receivers than sensors",

abstract = "In many source detection and localization applications, the number of receivers is smaller than the number of sensors, where the receivers are connected to the sensors via a preprocessing device. The preprocessing device can easily be implemented in hardware by linear transformation of the measured signals at the sensors. In this paper, the Cram{\'e}r-Rao lower bound for this problem is developed and it is shown that by judicious choice of the preprocessing matrix, it is possible to reduce the bound on direction of arrival estimation errors. The results demonstrate the trade-off between azimuth and elevation estimation errors using a planar array divided to subarrays.",

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AU - Faizakov, Avi

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AB - In many source detection and localization applications, the number of receivers is smaller than the number of sensors, where the receivers are connected to the sensors via a preprocessing device. The preprocessing device can easily be implemented in hardware by linear transformation of the measured signals at the sensors. In this paper, the Cramér-Rao lower bound for this problem is developed and it is shown that by judicious choice of the preprocessing matrix, it is possible to reduce the bound on direction of arrival estimation errors. The results demonstrate the trade-off between azimuth and elevation estimation errors using a planar array divided to subarrays.

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M3 - Paper

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T2 - 2001 IEEE Workshop on Statitical Signal Processing Proceedings

Y2 - 6 August 2001 through 8 August 2001

ER -

Optimal preprocessing for source localization by fewer receivers than sensors

Abstract

Conference

ASJC Scopus subject areas

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